Month 01
Analytics foundations & advanced Excel
Understand what data analysts do and learn to clean and summarise data in the spreadsheet most offices already use.
- Microsoft Excel
- Google Sheets
- Pivot Tables
Project: Sales summary workbook
After 12th · 3-month trackStarter
You collect raw business data, clean it, analyse it and present it as clear reports and dashboards that help people make better decisions.
4.9 on Google750+ reviews
Program
Data Analytics
3months
One subject, one term, one live project.
Data Analytics is taught the way analysts actually work: get the data, clean it, analyse it, visualise it and explain it. You start with Excel and move step by step to SQL, statistics, Python, Power BI and Tableau, so no coding background is needed to begin. You learn on real datasets instead of theory alone, and each module ends with a practical task that a trainer reviews. By the end you can open a messy dataset, find the patterns in it and present the insights with confidence.
The 3-month program is the quickest way to find out whether Data Analytics is the right career for you. You finish the foundations, build three guided projects and leave with a certificate — and every class counts if you later move up to the 6 or 9-month track.
Your 3 months at a glance
By the end of the data analytics program you can do each of these on your own.
You can clean a raw sheet and answer business questions with formulas, lookups and pivot tables.
You can fetch, filter, sort and group data from a database to answer a business question.
You can join tables and use subqueries and window functions to shape data for reporting.
Month 01
Understand what data analysts do and learn to clean and summarise data in the spreadsheet most offices already use.
Project: Sales summary workbook
Month 02
Start pulling exactly the data you need from a relational database by writing clear SQL queries.
Project: Business questions query set
Month 03
Combine tables and use advanced SQL to prepare data that is ready for a report.
Project: Reporting dataset from a database
Pick a month to see exactly what is taught, which tools you use and what you ship.
Month 1 of 3
Understand what data analysts do and learn to clean and summarise data in the spreadsheet most offices already use.
Tools this month
You ship
Sales summary workbook
Clean a raw sales sheet and build a pivot-based Excel dashboard that answers a clear business question.
Month 2 of 3
Start pulling exactly the data you need from a relational database by writing clear SQL queries.
Tools this month
You ship
Business questions query set
Answer a list of sales and customer questions from a practice database using SQL queries.
Month 3 of 3
Combine tables and use advanced SQL to prepare data that is ready for a report.
Tools this month
You ship
Reporting dataset from a database
Write multi-table queries that turn raw database tables into one clean dataset for a monthly report.
6 tools across 3 months — introduced only when a project needs them.
Everything is installed in our labs. On your own laptop, a mentor helps you set it up in the first week.
Arts, commerce, medical or non-medical — start Data Analytics from zero, before or alongside your degree.
BCA, B.Tech, B.Sc or B.Com students who want real project work next to their syllabus.
Finished a degree in another field? Build job-ready Data Analytics skills with a portfolio to prove them.
Learn enough Data Analytics to take paid work or bring the skill into your own business.
Most learners stop at: Learning analytics as theory
You get to: Practising on real datasets
Most learners stop at: Decisions made by guesswork
You get to: Decisions backed by numbers
Most learners stop at: Charts that only you understand
You get to: Insights explained in plain language
Most learners stop at: A list of topics you covered
You get to: Projects you can discuss in interviews
Ten minutes on a call is enough to know whether 3 months of Data Analytics fits your stream, your college plans and your goal.

3 reviewed projects
You finish the data analytics program with proof of what you built — not only a piece of paper.
Online-verifiable certificate that lists your modules, projects and grade.
Issued for live-project work on the longer tracks and accepted for college credit.
One reviewed project per month that you can walk an interviewer through.
Resume review, mock interviews and referrals to our hiring partners.
Four roles Data Analytics learners grow into — each one builds on the last.
Role 1 of 4
Cleans and analyses business data to answer questions and support decisions.
Role 2 of 4
Uses data to understand business problems and explain findings to teams.
Role 3 of 4
Prepares regular reports in Excel and SQL for management.
Role 4 of 4
Builds the dashboards and KPI reports a business tracks its numbers with.
Every topic in every month runs through the same three steps.
Step 1
A short concept class with a worked example — you see why before you see how.
Step 2
You build it yourself in the lab while a mentor reviews your work and unblocks you.
Step 3
You demo the result and answer questions — practice for every interview to come.
A first course after 12th should leave you with skills you can show, not notes you can't use.
You move on when your project is reviewed and working — not when the month ends.
The same tools, devices and accounts that working teams use every day.
Mentors who deliver client projects, so what you learn is what is used.
Start with 3 months and continue to 6 or 9 without repeating a single class.
Data analytics is one of the few skills that is useful in almost every industry. Banks, hospitals, retailers, schools, logistics firms and startups all collect data, and most of them struggle to understand it. That gap is why analyst roles keep appearing in job listings across India, from Bengaluru, Hyderabad, Pune and Mumbai to growing hubs like Gurugram and Noida.
01
Companies increasingly expect decisions to be backed by numbers. Roles such as Data Analyst, Business Analyst, MIS Executive, Reporting Analyst, BI Developer and Marketing Analyst are common entry points. Many of these roles are also open to remote work, which is useful if you live outside a metro.
02
Unlike some technical fields, you can begin data analytics without a coding background. The learning path moves from Excel to SQL to visualisation tools, and then to Python for those who want to go deeper. Each step produces something you can actually use at work, so the skill pays off even before you finish the course.
03
If you work in sales, finance, HR, operations or marketing, analytics makes you better at your current job and opens a path to a promotion or a role change. Freelancers can offer dashboards, data cleaning and reporting as paid services. Business owners can use the same skills to track sales, costs and customer behaviour without depending on someone else.
04
This data analytics course focuses on practice rather than theory. You work on real datasets, build dashboards and prepare reports the way analysts do on the job, so you finish with projects you can discuss in interviews. Live online classes also mean you can learn from anywhere in North India without changing cities.
05
06
If you are comparing options, look beyond the course title. Check the tools taught, the number of projects, who trains you and how much hands-on practice you get. A good data analytics course should leave you able to open a messy dataset, clean it, analyse it and explain what it means in plain language.
Our live online classes let you learn from wherever you are. Here is how learners from different states can use this skill:
Manufacturing, hosiery, sports goods and export businesses generate heavy sales and inventory data. A data analytics course in Punjab helps local professionals and business owners turn that data into better decisions.
With MNCs, logistics and e-commerce in the region, learners in Haryana can aim for analyst roles in supply chain, operations and customer reporting.
Online data analytics training suits Himachal Pradesh students who want remote jobs or freelancing without moving to a metro, and tourism or hotel professionals who track bookings and seasonal demand.
The tricity's IT, BPO and startup ecosystem offers entry points for freshers who can show strong Excel, SQL and dashboard skills.
As the largest fresher job market, Delhi NCR has agencies, fintech and e-commerce companies that regularly hire analysts, so portfolio projects matter most here.
Hospitality, tourism and pharma units in the state need people who can read occupancy, production and sales numbers.
Jewellery, textile and handicraft businesses can use data to forecast demand, and tourism players can study visitor patterns.
Retail, electronics and IT hubs create steady demand for MIS and reporting skills, and government-sector aspirants can add a practical data skill to their profile.
26 questions
3 months, with one module and one reviewed project per month. Classes are practical first: most of every session is spent building.
They share one roadmap. 3 months covers the foundations with guided projects, 6 months reaches portfolio level with an industry certificate and placement support, and 9 months adds specialisation, an internship-style capstone and placement preparation.
No. You do not need prior coding knowledge. The early modules rely on Excel and visual tools, and SQL and Python are taught from the basics.
Yes. No technical background is required and the course starts from the fundamentals. It works well after 12th alongside college, as long as you are ready to practise regularly.
Comfort with basic computer use, a laptop or desktop and a willingness to practise on real datasets. Online learners also need a stable internet connection.
Program certificate, a portfolio of 3 reviewed projects and guidance on what to learn next.
Yes. You can move up to the 6-month certificate program and carry on from where you stopped — no class is repeated.
Yes. The program starts from zero and is open to arts, commerce, medical and non-medical students. You only need basic computer skills.
Yes. Morning, evening and weekend batches are available, and live online classes come with recordings for revision.
No institute can honestly guarantee a job. We give placement support — resume and portfolio reviews, mock interviews and referrals — and keep helping until you are placed.
Book a free counselling session or message us on WhatsApp. A counsellor will share the current fee, instalment options and scholarships for your chosen program.
A data analytics course teaches you to collect, clean, analyse and present data so businesses can make better decisions. At Techcadd, it covers Excel, SQL, statistics, Python, Power BI and Tableau, with hands-on projects.
Any graduate, postgraduate, working professional, job switcher, freelancer or business owner can join, and no technical background is required. Final-year students and 12th-pass learners can also enrol if they are ready to practise regularly.
Yes, beginners can learn data analytics because the course starts from the fundamentals. You begin with Excel and basic statistics, then move step by step to SQL, visualisation tools and Python.
No, you do not need prior coding knowledge. SQL and Python are taught from the basics, and the early modules rely on Excel and visual tools.
The syllabus covers data analytics foundations, advanced Excel, SQL, statistics, Python with Pandas and NumPy, Power BI and Tableau, and a capstone project. The detailed module list is in the "What You Will Learn" section above.
You will learn Excel, Google Sheets, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Power BI, Tableau and Jupyter Notebook. These are among the tools most commonly asked for in analyst job listings.
Yes, learners receive a Techcadd course completion certificate after finishing the program. Employers also look at your projects and your ability to explain your work, so the portfolio you build matters as much as the certificate.
You can choose either. Techcadd offers live online classes as well as offline learning at its Jalandhar centre, so you can pick what suits your schedule and location.
You can apply for roles such as Data Analyst, Business Analyst, MIS Executive, Reporting Analyst, BI Analyst and Marketing Analyst. Freelancing in dashboards and reporting is another option.
Yes, many learners offer services such as data cleaning, Excel automation, dashboard building and monthly reporting to small businesses and online clients. Strong portfolio projects help you win your first clients.
Yes, it suits professionals in sales, finance, HR, operations and marketing because you can apply the skills in your current job or use them to move into an analyst role. Live online classes make it easier to learn alongside work.
Yes, students from Himachal Pradesh can join through live online classes from places like Shimla, Solan or Dharamshala. This also suits learners who want remote jobs or freelancing without moving to a metro.
In Punjab, manufacturing, hosiery, export and IT companies in Mohali need reporting and sales analysts. In Haryana, logistics, automobile and e-commerce firms hire for operations and customer analytics roles.
Yes, learners from Jammu & Kashmir and Uttarakhand can attend live online sessions and practise on the same projects as other students. Local tourism, hospitality, handicraft and pharma businesses also use data skills, so the course helps both job seekers and business owners.
Yes, the skills apply across both states. Rajasthan's tourism, jewellery and textile sectors use data for demand planning, and Uttar Pradesh's retail, electronics and IT sectors need MIS and reporting professionals.
Tell us your stream and goal — we will suggest the right duration, share fee details and book your free demo.
2nd Floor, Crystal Plaza, SCS 78, Opposite PIMS Hospital, Jalandhar, Punjab 144001Mon – Sat: 9:00 AM – 7:00 PM
Sit in a free demo class first. If Data Analytics is not for you, a counsellor will help you find what is.